DocumentCode
247275
Title
Acceleration of the finite element method using hybrid OpenMP-CUDA
Author
Huan-Ting Meng ; Bao-Lin Nie ; Jian-Ming Jin ; Wong, Simon ; Macon, Charles
Author_Institution
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2014
fDate
6-11 July 2014
Firstpage
1379
Lastpage
1380
Abstract
Graphics processing units (GPUs) are efficient in accelerating algorithms that are highly parallelizable. This paper discusses various aspects of parallelizing the traditional finite element algorithm, whose communication-intensive nature makes it difficult to be parallelized in a straightforward manner, and proposes solutions to alleviate the acceleration bottlenecks. The examples show that decent speedup can still be achieved over OpenMP-enabled CPUs.
Keywords
finite element analysis; graphics processing units; parallel architectures; GPU; OpenMP-enabled CPU; accelerating algorithms; communication-intensive nature; finite element method; graphics processing units; hybrid OpenMP-CUDA; Acceleration; Assembly; Finite element analysis; Graphics processing units; Jacobian matrices; Memory management; Sparse matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location
Memphis, TN
ISSN
1522-3965
Print_ISBN
978-1-4799-3538-3
Type
conf
DOI
10.1109/APS.2014.6905015
Filename
6905015
Link To Document